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Expert Panel on Technical Questions and Data Gaps for the ERS Loss-Adjusted Food Availability (LAFA) Data Series

Author

Listed:
  • Muth, Mary K.
  • Giombi, Kristen Capogrossi
  • Bellemare, Marc
  • Ellison, Brenna
  • Roe, Brian
  • Smith, Travis

Abstract

The Economic Research Service’s (ERS’s) Loss-Adjusted Food Availability (LAFA) data series is derived from ERS’s Food Availability (FA) data by adjusting for food spoilage, plate waste, and other losses to more closely approximate actual intake. ERS refers to the LAFA data series as preliminary and recognizes the need to systematically update and improve the loss assumptions underlying the LAFA per capita availability estimates. The goal of this project was to develop recommendations to improve the integrity, transparency, and validity of the LAFA data series and build on lessons learned from prior efforts. The overall objective was to research and recommend workable, concrete solutions to technical questions underlying the data and to close data gaps. In collaboration with RTI International, a team of four academic experts reviewed background materials, examined current data, searched for and analyzed alternative data sources, and developed recommendations for the set of technical questions and data gaps provided by ERS. We prioritized the recommendations based on our assessment of ease of implementation and effect on improving the LAFA data series. The views expressed are those of the authors and should not be attributed to the Economic Research Service or USDA.

Suggested Citation

  • Muth, Mary K. & Giombi, Kristen Capogrossi & Bellemare, Marc & Ellison, Brenna & Roe, Brian & Smith, Travis, 2018. "Expert Panel on Technical Questions and Data Gaps for the ERS Loss-Adjusted Food Availability (LAFA) Data Series," Contractor and Cooperator Reports 292092, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerscc:292092
    DOI: 10.22004/ag.econ.292092
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    Cited by:

    1. Zach Conrad & Alexandra Stern & David C. Love & Meredith Salesses & Ashley Cyril & Acree McDowell & Nicole Tichenor Blackstone, 2021. "Data Integration for Diet Sustainability Analyses," Sustainability, MDPI, vol. 13(14), pages 1-22, July.

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